Bridging business needs and technical solutions for Slalom's clients by transforming the way organizations access, model, and leverage their data for analytics, AI, and decision support
Requirements
- Proficiency in SQL and/or Python
- Experience with semantic layer tools (e.g., dbt, Looker, Power BI, Tableau, Sigma) is a plus
- Strong understanding of data modeling, ETL processes, and analytics solution design
- Exposure to or interest in AI/ML integration and modern data architectures
- Experience facilitating or participating in requirements/design workshops with business stakeholders
- Strong problem-solving skills and the ability to translate business needs into technical solutions
Responsibilities
- Design, build, and modernize semantic layers to enable self-service analytics, AI, and cross-platform reporting
- Facilitate design and requirements sessions with business and technical teams, translating insights into actionable data models and technical solutions
- Develop and optimize data models using SQL, Python, or other relevant languages
- Collaborate with data engineers, data scientists, and stakeholders to ensure data quality, usability, and alignment with business goals
- Implement best practices for data integration, governance, and analytics enablement
- Contribute to the delivery of integrated analytics experiences, moving beyond traditional dashboards to deliver holistic, user-centric solutions
- Stay current with emerging tools and techniques in analytics engineering, AI, and data platforms
Other
- 2–5 years of experience in analytics engineering, data engineering, or a related field
- Excellent communication and collaboration skills
- Hybrid and client-facing, with travel based on engagement needs. Up to 25 - 50% travel
- Meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage
- Yearly $350 reimbursement account for any well-being-related expenses
